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Medicine Lodge, United States

Marin C.,Lipids and Atherosclerosis Unit | Marin C.,Hospital Universitario Reina Sofia | Delgado-Lista J.,Lipids and Atherosclerosis Unit | Delgado-Lista J.,Hospital Universitario Reina Sofia | And 23 more authors.
Age | Year: 2012

This paper aims to study the effects of the oxidative stress induced by quality and quantity of dietary fat on cellular senescence. Twenty elderly subjects consumed three diets, each for 4 weeks: a saturated fatty acid diet (SFA), a low-fat and high-carbohydrate diet (CHO-ALA), and a Mediterranean diet (MedDiet) enriched in monounsaturated fatty acid following a randomized crossover design. For each diet, we investigated intracellular reactive oxidative species (ROS), cellular apoptosis and telomere length in human umbilical endothelial cells incubated with serum from each patient. MedDiet induced lower intracellular ROS production, cellular apoptosis, and percentage of cell with telomere shortening, compared with the baseline and with SFA and CHO-ALA diets. Dietary fat modulates the oxidative stress in human endothelial cells. MedDiet protects these cells from oxidative stress, prevents cellular senescence and reduces cellular apoptosis. © 2011 American Aging Association.

Delgado-Lista J.,Lipids and Atherosclerosis Unit | Perez-Martinez P.,Lipids and Atherosclerosis Unit | Juan S.,Hospital Universitario Reina Sofia | Garcia-Rios A.,Institute Salud Carlos III | And 13 more authors.
Journal of Clinical Endocrinology and Metabolism | Year: 2014

Rationale: Metabolic syndrome (MetS) is a high-prevalence condition characterized by altered energy metabolism, insulin resistance, and elevated cardiovascular risk. Objectives: Although many individual single nucleotide polymorphisms (SNPs) have been linked to certain MetS features, there are few studies analyzing the influence of SNPs on carbohydrate metabolism in MetS. Methods: A total of 904 SNPs (tag SNPs and functional SNPs) were tested for influence on 8 fasting and dynamic markers of carbohydrate metabolism, by performance of an intravenous glucose tolerance test in 450 participants in the LIPGENE study. Findings: From 382 initial gene-phenotype associations between SNPs and any phenotypic variables, 61 (16% of the preselected variables) remained significant after bootstrapping. Top SNPs affecting glucose metabolism variables were as follows: fasting glucose, rs26125 (PPARGC1B); fasting insulin, rs4759277 (LRP1); C-peptide, rs4759277 (LRP1); homeostasis assessment of insulin resistance, rs4759277 (LRP1); quantitative insulin sensitivity check index, rs184003 (AGER); sensitivity index, rs7301876 (ABCC9), acute insulin response to glucose, rs290481 (TCF7L2); and disposition index, rs12691 (CEBPA). Conclusions: We describe here the top SNPs linked to phenotypic features in carbohydrate metabolism among approximately 1000 candidate gene variations in fasting and postprandial samples of 450 patients with MetS from the LIPGENE study. Copyright © 2014 by the Endocrine Society.

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